Results 51 to 60 of about 364,885 (315)

Feature subset selection and ranking for data dimensionality reduction [PDF]

open access: yes, 2007
A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one at a time, by estimating the capability of each specified candidate feature ...
Billings, S.A., Wei, H.L.
core   +1 more source

Stochastic inflation and dimensional reduction [PDF]

open access: yesPhysical Review D, 2008
4 pages, 1 figure; v2: minor changes; v3: revised and ...
Kuehnel, Florian, Schwarz, Dominik
openaire   +3 more sources

Network topology drives population temporal variability in experimental habitat networks

open access: yesPopulation Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu   +3 more
wiley   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

open access: yesPopulation Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Visualizing dimensionality reduction of systems biology data

open access: yes, 2012
One of the challenges in analyzing high-dimensional expression data is the detection of important biological signals. A common approach is to apply a dimension reduction method, such as principal component analysis. Typically, after application of such a
A Hyvaerinen   +31 more
core   +1 more source

Limitations on quantum dimensionality reduction [PDF]

open access: yesInternational Journal of Quantum Information, 2011
The Johnson–Lindenstrauss Lemma is a classic result which implies that any set of n real vectors can be compressed to O( log n) dimensions while only distorting pairwise Euclidean distances by a constant factor. Here we consider potential extensions of this result to the compression of quantum states. We show that, by contrast with the classical case,
Harrow, Aram W.   +2 more
openaire   +6 more sources

Between Droughts and Floods: The Seasonal Response of Freshwater Snails in Artificial Reservoirs in the Brazilian Semiarid Region

open access: yesPopulation Ecology, EarlyView.
We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva   +6 more
wiley   +1 more source

Dynamics of coset dimensional reduction [PDF]

open access: yesPhysical Review D, 2006
The evolution of multiple scalar fields in cosmology has been much studied, particularly when the potential is formed from a series of exponentials. For a certain subclass of such systems it is possible to get `assisted` behaviour, where the presence of multiple terms in the potential effectively makes it shallower than the individual terms indicate ...
Josef L. P. Karthauser   +2 more
openaire   +4 more sources

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Sequential Dimensionality Reduction for Extracting Localized Features

open access: yes, 2016
Linear dimensionality reduction techniques are powerful tools for image analysis as they allow the identification of important features in a data set. In particular, nonnegative matrix factorization (NMF) has become very popular as it is able to extract ...
Casalino, Gabriella, Gillis, Nicolas
core   +1 more source

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